From Detection To Intelligence: how digital finance is reshaping fraud risk and compliance through behavioural insights, ...

Fraud detection already relies heavily on non-financial signals such as IP address, device fingerprinting, geolocation and behavioural biometrics. When linked with AML monitoring, these signals become ...

Deepfake and continuous identity protection programs must therefore be framed not as experimental controls, but as ROI-driven investments.

With the April 2026 deadline approaching, insurers are expected to accelerate investments in digital fraud detection systems and cross-industry data sharing platforms as the sector transitions towards ...

AI agents are emerging as powerful financial tools, capable of analyzing data, managing investments, and executing transactions with minimal human in ...

One of Latin America’s largest identity and fraud infrastructure providers has implemented DuckDuckGoose’s real-time deepfake detection technology.

New book explains how AI and machine learning are transforming banking through fraud detection, credit risk modeling, ...

Preventing card-not-present fraud before it occurs , across physical cards, virtual, digital cards, and emerging ...

As the debate over federal election reforms in the SAVE Act heat up, so do accusations that supporters are overreacting to ...

Canadians are increasingly treating every unexpected message as a potential scam, according to new research from RBC that underscores growing anxiety around fraud and the impact of artificial ...

Rising cybersecurity threats, expanding digital footprints, and increasing reliance on AI-powered analytics are driving robust demand across the anomaly detection market, as enterprises prioritize ...